Job SummaryWe are seeking a skilled GCP Data Engineer with strong experience in Google Cloud Platform (GCP) and hands-on expertise in BigQuery, Dataflow, and Dataproc. The ideal candidate will design, develop, optimize, and maintain scalable data pipelines and data platforms to support analytics, reporting, and business intelligence requirements.Key Responsibilities:Design, develop, and maintain data ingestion and transformation pipelines on GCP.Build batch and real-time data processing solutions using Dataflow.Develop and optimize data warehouse solutions using BigQuery.Implement large-scale data processing using Dataproc (Spark/Hadoop).Design ETL/ELT workflows for structured and unstructured data.Optimize query performance, partitioning, clustering, and cost management in BigQuery.Collaborate with Data Architects, Business Analysts, and Data Scientists to deliver data solutions.Troubleshoot data pipeline failures and ensure high availability of data services.Implement CI/CD processes and automate deployment of data pipelines.Required SkillsGCP ServicesBigQueryDataflow (Apache Beam)Dataproc (Spark, Hadoop)Cloud Storage
GCP Developer Data BaseSQLPythonDATA FLOWDATA CRAPETL
Experience : 6-9yrs Notice Period : imm - 60 daysWork location : Pune, Bangalore, Chennai, Mumbai Work mode : Hybrid Key Requirements:- Strong experience in cloud migrations and pipelines- Good understanding of Database and Data Engineering concepts- Hands-on experience in SQL and Python- Experience in Java development- Proficiency in Google Cloud Platform tools like Data Flow, Data Transfer services, and AirFlow- Working knowledge of Data Preprocessing techniques using DataFlow, DataProc, and DataPrep- Familiarity with BigQuery, Kafka, PubSub, GCS, and Schedulers- Proficiency in PostgreSQL is preferred- Experience with real-time and scheduled pipelines- Cloud certification is a plus- Experience in implementing ETL pipelines- Familiarity with MicroServices or Enterprise Application Integration Patterns is advantageous